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Methodology
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Reinforcement Learning
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Methods
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Deep RL
3861 directly classified papers
Papers per year
2005: 1
2006: 9
2007: 14
2008: 15
2009: 9
2010: 21
2011: 27
2012: 32
2013: 21
2014: 17
2015: 10
2016: 33
2017: 102
2018: 222
2019: 399
2020: 450
2021: 533
2022: 478
2023: 532
2024: 513
2025: 326
2026: 97
Papers
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning
NIPS 2023
For SALE: State-Action Representation Learning for Deep Reinforcement Learning
NIPS 2023
Reinforcement Learning with Simple Sequence Priors
NIPS 2023
Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning
NIPS 2023
Prediction and Control in Continual Reinforcement Learning
NIPS 2023
Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning
NIPS 2023
SPQR: Controlling Q-ensemble Independence with Spiked Random Model for Reinforcement Learning
NIPS 2023
ODE-based Recurrent Model-free Reinforcement Learning for POMDPs
NIPS 2023
RL-based Stateful Neural Adaptive Sampling and Denoising for Real-Time Path Tracing
NIPS 2023
Decision-Aware Actor-Critic with Function Approximation and Theoretical Guarantees
NIPS 2023
Efficient Model-Free Exploration in Low-Rank MDPs
NIPS 2023
Efficient Diffusion Policies For Offline Reinforcement Learning
NIPS 2023
Accelerating Exploration with Unlabeled Prior Data
NIPS 2023
State Sequences Prediction via Fourier Transform for Representation Learning
NIPS 2023
A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process
NIPS 2023
Train Hard, Fight Easy: Robust Meta Reinforcement Learning
NIPS 2023
Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms
NIPS 2023
Video Prediction Models as Rewards for Reinforcement Learning
NIPS 2023
Iterative Reachability Estimation for Safe Reinforcement Learning
NIPS 2023
Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards
NIPS 2023
Reinforcement Learning with Fast and Forgetful Memory
NIPS 2023
Resetting the Optimizer in Deep RL: An Empirical Study
NIPS 2023
Facing Off World Model Backbones: RNNs, Transformers, and S4
NIPS 2023
Successor-Predecessor Intrinsic Exploration
NIPS 2023
Model-free Posterior Sampling via Learning Rate Randomization
NIPS 2023
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